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off-policy evaluation

144 papers

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Also known as

OPE

Co-occurring keywords

reinforcement learning (4122) importance sampling (316) contextual bandit (379) causal inference (1619) markov decision process (788) variance reduction (520) doubly robust estimator (37) offline reinforcement learning (492) confidence interval (145) doubly robust (32)

Papers

Cross-Validated Off-Policy Evaluation AAAI 2025
Efficient Multi-Policy Evaluation for Reinforcement Learning AAAI 2025
Distributional Off-Policy Evaluation for Slate Recommendations AAAI 2024
RoME: A Robust Mixed-Effects Bandit Algorithm for Optimizing Mobile Health Interventions NIPS 2024
Off-Policy Selection for Initiating Human-Centric Experimental Design NIPS 2024
Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning NIPS 2024
Off-policy estimation with adaptively collected data: the power of online learning NIPS 2024
RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation NIPS 2024
On the Curses of Future and History in Future-dependent Value Functions for Off-policy Evaluation NIPS 2024
Data-Efficient Policy Evaluation Through Behavior Policy Search JMLR 2024
Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning NIPS 2024
PoRank: A Practical Framework for Learning to Rank Policies IJCAI 2024
Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes NIPS 2024
Get a Head Start: On-Demand Pedagogical Policy Selection in Intelligent Tutoring AAAI 2024
EpiCare: A Reinforcement Learning Benchmark for Dynamic Treatment Regimes NIPS 2024
Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy Evaluation NIPS 2024
Robust Offline Reinforcement Learning with Heavy-Tailed Rewards AISTATS 2024
Hyperparameter Optimization Can Even Be Harmful in Off-Policy Learning and How to Deal with It IJCAI 2024
Policy Evaluation for Reinforcement Learning from Human Feedback: A Sample Complexity Analysis AISTATS 2024
Multiply Robust Off-policy Evaluation and Learning under Truncation by Death ICML 2023
Multiple-policy High-confidence Policy Evaluation AISTATS 2023
Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction AAAI 2023
Off-Policy Evaluation for Large Action Spaces via Conjunct Effect Modeling ICML 2023
Counterfactual Learning with General Data-Generating Policies AAAI 2023
Policy-Adaptive Estimator Selection for Off-Policy Evaluation AAAI 2023